Casey S. Greene, Daniel S. Himmelstein, Jeff Kiralis, Jason H. Moore. The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics. In Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini, editors, Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings. Volume 6023 of Lecture Notes in Computer Science, pages 182-193, Springer, 2010. [doi]
@inproceedings{GreeneHKM10,
title = {The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics},
author = {Casey S. Greene and Daniel S. Himmelstein and Jeff Kiralis and Jason H. Moore},
year = {2010},
doi = {10.1007/978-3-642-12211-8_16},
url = {http://dx.doi.org/10.1007/978-3-642-12211-8_16},
researchr = {https://researchr.org/publication/GreeneHKM10},
cites = {0},
citedby = {0},
pages = {182-193},
booktitle = {Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings},
editor = {Clara Pizzuti and Marylyn D. Ritchie and Mario Giacobini},
volume = {6023},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-642-12210-1},
}